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基于PCE模型的农户对面源污染减排支付意愿的实证分析——以三峡库区重庆段调查为例 被引量:4

Empirical Analysis of Farmers' Willingness to Pay for Non-point Source Pollution Reduction by PCE Model: Case Study on Filed Investigation in Chongqing of Three Gorges Reservoir Area
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摘要 农户是农业面源污染的主体,让他们参与面源污染的控制并承担一部分管理成本是减缓农业面源污染问题的一项重要举措。通过对三峡库区重庆段农户的调查,运用PCE半参数模型实证分析了库区农户的面源污染减排支付意愿与影响因素。结果表明:农户对面源污染减排的平均支付意愿为295.05元/hm2,与农业面源污染减排支付意愿存在正向关系且影响较大的变量有教育程度、是否了解面源污染及来源、农业化学用品投入资金和对面源污染后果、对面源污染减排的态度。因此,政府在设计面源污染减排政策时要充分发挥农户的作用,注重提高农户的教育水平,强化农户对面源污染的认知,减少农药和化肥的施用,提高农户的环境保护意识与社会责任感。 Farmer is the major subject of agricultural non-point source pollution. Their participation in nonpoint source pollution control and undertaking part of the management cost is one of the most effective ways to reduce ag- ricuhural non-point source pollution. According to surveys on farmers in Chongqing of the Three Gorges Reservoir area, we employed PCE semi-parametric model to make an empirical analysis on farmers' willingness to pay for non-point source pollution reduction and its influencing factors. Results show that the average of farmers' willing- ness to pay for non-point source pollution reduction is 295.05 yuan/hm2. The positive influencing factors include farmers' education level, their understanding of non-point source pollution and its sources, their investment in agri- cultural chemical products and their attitudes towards the consequences and the reduction of nonpoint source pollu- tion. Therefore, when designing non-point source pollution reduction policies, the government should focus on im- proving farmers' education level, strengthening farmers' knowledge about nonpoint source pollution, reducing pes- ticides and chemical fertilizer and increasing farmers' awareness of environmental protection and social responsibility.
出处 《长江科学院院报》 CSCD 北大核心 2013年第12期7-13,共7页 Journal of Changjiang River Scientific Research Institute
基金 国家科技支撑计划项目(2012BAD15B04-003)
关键词 面源污染 PCE模型 支付意愿 三峡库区 non-point source pollution piecewise-constant exponential model willingness to pay Three GorgesReservoir area
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